Dataset opportunity
Voltfang — 传感器遥测数据集机会
Voltfang 持有的中等规模传感器遥测数据集，可用于预测性维护和异常检测。
Score
47.5
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
49%
Action
收购
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market size (indicative estimate)
全球预测性维护市场规模在 2025 年价值为 149.3 亿美元，预计到 2035 年将达到 2457.3 亿美元，复合年增长率为 32.32%（来源：SNS Insider）。[12]
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
传感器遥测数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 可干净许可 · 个人身份信息/受监管
Buyer persona
工业人工智能与维护优化供应商
Voltfang 持有一个重要的传感器遥测数据集，该数据集由其第二生命周期电池储能系统 (BESS) 的时间序列数据组成。这些工业数据和物联网数据收集了电压、电流、温度和荷电状态等运行指标，涵盖多种电池化学成分（NMC、LFP），非常适合训练预测性维护人工智能模型，以预测电池退化并防止故障。
全球预测性维护市场是一个重要且快速增长的领域，2025 年市场价值为 149.3 亿美元，预计将以 32.32% 的复合年增长率增长。[12] 尽管存在数据所有权共享和敏感专有测试协议等访问复杂性，但该数据集在2035 年价值 2457.3 亿美元的市场中具有独特的价值。[12] 它提供了一个难得的机会来开发针对高需求 BESS 行业的强大模型，使得协商访问权限成为一项有价值的投资。⚠ 尽职调查（有价值的数据，可协商访问）：运营遥测的数据所有权可能与 BESS 业主（例如 Aldi Nord、斯图加特机场）共享；第二生命周期电池特性的专有测试协议高度敏感；数据涉及来自多个汽车原始设备制造商的多种电池化学成分（NMC、LFP）· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Voltfang 拥有高稀有度、专有的时间序列数据集，捕获了第二生命周期电池在运行压力下的真实性能。通过成熟的 IoT 管道收集的数据，记录了从内部传感器遥测到质量测试，甚至日内交易中的财务表现的所有内容。对于工业人工智能供应商来说，这是构建和验证快速扩张的能源存储市场的预测性维护模型的独特资产，该市场预计到 2035 年将超过 2450 亿美元。
See dimension details ↓- Dataset Specificity74
主导的 'iot_data'，行业其他，3 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家需求由快速扩张的预测性维护市场驱动，该市场以 32.32% 的复合年增长率增长，对高质量的真实遥测数据以训练故障预测模型产生了强烈需求。[12]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility16
个人身份信息/受监管
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License58
所有权=混合，许可=干净
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 个数据胃口信号（2 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高，5 个近期外部信号 — 专有数据超出已货币化的部分
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit58
⚠ 审查 — Voltfang 的核心业务是销售硬件（电池储能系统）以及智能软件平台（Venma）进行能源管理，这是一种销售智能的形式，因此不适合。问题：公司的核心产品是销售智能/人工智能软件。 [7, 12, 19]；公司的商业模式是销售硬件（电池储能）结合能源管理系统 (EMS)，该系统使用人工智能来优化客户的能源成本；这个名为 Venma 的 EMS 以...
- Deep Qualification80
✓ 通过 — Voltfang 是一个 BESS 系统集成商，其运营遥测数据对于预测性维护人工智能来说是高度可信且有价值的，但数据所有权可能与客户共享，并受不明确的权利管辖，这使得直接访问变得复杂。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<figure><div><img src="https://imgproxy.divecdn.com/eGMN0QVCPu3-VRb8TNotGIfu43f9YzWEC8wrBUpdkpw/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9wb3dlcm9ucHIxX05EM3I5NUguanBn.webp" /></div></figure><p>An executive for Sunrun said active “distributed power plant” programs like one in Puerto Rico underscore the resource’s potential.</p>”
- “<p>Ajouter une batterie à une centrale solaire, oui mais laquelle ? La jeune entreprise Forsyt Energy s’est penchée sur la question, en collaboration avec le bureau d’études Natural Power. L’entreprise a été</p> <p>L’article <a href="https://www.greenunivers.com/2026/06/comment-hybrider-une-centrale-solaire-avec-les-batteries-forsyt-et-natural-power-427649/">Comment hybrider une centrale solaire avec les batteries [Forsyt et Natural Power]</a> est apparu en premier sur <a href="https://www.greenunivers.com">GreenUnivers</a>.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/rN3AFglIWg9l41ObPWvrTsgpVGdNUmm_H7RBq4l5VLI/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy00NjUwMjA1NTAuanBn.webp" /></div></figure><p>Platte River Power Authority plans to achieve 19 MW from customer-owned distributed resources by 2030, with the first virtual power plant programs launching this summer.</p>”
IoT / sensor data
该公司运营一个实时的 IoT 数据管道，从多个电池管理系统 (BMS) 收集传感器遥测数据，并将其集中到云端进行远程监控。
Industrial data
该数据集包括工业测试数据，这些数据描述了来自不同制造商的第二生命周期电池的质量、安全性和性能，为模型训练提供了无与伦比的多样性。
Transaction data
该数据集独特地丰富了来自日内能源交易的交易数据，使人工智能模型能够将电池性能直接与财务结果和市场波动相关联。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for use in training predictive maintenance AI models. Usage restrictions may apply.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This dataset's value is driven by its high rarity, proprietary nature, and direct application to the rapidly growing predictive maintenance market for energy storage systems. The real-time, time-series sensor telemetry offers unique insights for AI model training.
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Voltfang Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market size was valued at USD 14.93 Billion in 2025 and is projected to reach USD 245.73 Billion by 2035, growing at a CAGR of 32.32% (source: SNS Insider). [12]. Investment score 47.5/100 (confidence 0.49). Recommended action: Acquire.
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